Computer Vision Made Easy

In this introductory webinar you will learn how to use computer vision algorithms to solve real world imaging problems. Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene.

You will discover how to:

Find moving objects in video

Analyze the motion of objects

Detect and locate faces in images and video

Track a single object over many frames of video

We will demonstrate key features through real world examples including:

Analyzing the flow of traffic using motion analysis

Using a person’s movements to interact with a computer

Locating an object in a cluttered scene

This webinar assumes some experience with MATLAB and no experience with computer vision. We will focus on the Computer Vision Toolbox.

About the Presenter: Avinash Nehemiah works on computer vision applications in technical marketing at MathWorks. Prior to joining MathWorks he spent 7 years as an algorithm developer and researcher designing computer vision algorithms for hospital safety and video surveillance. He holds an MSEE degree from Carnegie Mellon University.

Product Focus

Computer Vision Made Easy
In this introductory webinar you will learn how to use computer vision algorithms to solve real world imaging problems. Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene.

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